A new way of using artificial intelligence to predict cancer from patient data without putting personal information at risk has been developed. Swarm learning can be used to help computers predict cancer in medical images of patient tissue samples, without releasing the data from hospitals.
By analyzing and providing data analytics to workers about their biomechanical form, companies can reduce injuries and optimize workflow.
AI-driven promotional avatars might be a legitimate use of virtual people. But what about the fraudulent uses?
AI is a digital technology, which means it can be compromised particularly when confronted by an intelligent attack.
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today! LivePerson, which makes the bots we encounter every day act
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today! Welcome to the latest edition of AI Weekly As I finish my
Remote sighted assistance (RSA) technology—which connects visually impaired individuals with human agents through a live video call on their smartphones—helps people with low or no vision navigate tasks that require sight. But what happens when exist
The latest advance in recommendation technology shows that better user and item representations can be learned via performing graph convolutions on the user-item interaction graph. However, such a finding is mostly restricted to the collaborative filtering (CF) scenario, where the interaction contexts are not available.
Humans live in a world where safety-critical systems are at work all around them. Scientists want to ensure that the proper safety constraints are in place so these systems can operate safely while also performing as needed. Toward this goal, researchers at Michigan State University have developed a method for designing a learning-enabled safe controller for systems that operate in uncertain environments.
Deep learning is currently prompting increasing research interests and leading to a paradigm shift from physics-based modeling to data-driven learning in the field of optical metrology. Scientists in China and Singapore published a review article entitled "Deep learning in optical metrology: a review" in Light: Science & Applications.
The new technology—developed through a two-year Knowledge Transfer Partnership between the University of Exeter and South West Water—uses Artificial Intelligence to monitor and detect faults in sewers with a high level of accuracy, making it easier, more reliable, and more cost-effective to maintain the wastewater network.
Researchers at EPFL have made strides in computer-aided animal tracking by expanding their software, DeepLabCut, to offer high-performance tracking of multiple animals in videos.
Many psychology studies have confirmed the biased nature of human judgments and decision-making. When interacting with a new person, for instance, humans often make a series of automatic and superficial judgments based solely on their appearance, facial features, ethnicity, body-type, and body language.
Investments in data scientists by the UK’s Department for Digital, Culture, Media & Sport (DCMS) continue to increase rapidly.
When two people meet, they instantly size each other up, making snap judgments about everything from the other person's age to their intelligence or trustworthiness based solely on the way they look. Those first impressions, though often inaccurate, can be extremely powerful, shaping our relationships and impacting everything from hiring decisions to criminal sentencing.
Customer loss is an expensive problem to have, especially when it can be prevented through careful stewardship of the customer experience.
We are connecting ourselves, our homes and our workplaces to lots of internet-enabled devices: smartwatches, smart lightbulbs, toasters, fridges … How to keep all their data private?
Now, machines can not only better understand the words being said, but the intent behind them, while also being more flexible with responses.